coveffectsplot: Produce Forest Plots to Visualize Covariate Effects

Produce forest plots to visualize covariate effects using either the command line or an interactive 'Shiny' application.

Version:	1.0.2
Depends:	R (≥ 3.6.0), data.table (≥ 1.9.8)
Imports:	colourpicker, egg, grid, ggplot2 (≥ 3.3.2), shiny, stats, utils
Suggests:	markdown, dplyr, tidyr, shinyjs, shinymeta, table1, clipr, formatR, MASS, knitr, rmarkdown, mrgsolve, GGally, ggridges, ggrepel, ggstance, patchwork, plotly, scales, shinyAce, Rcpp, gamlss.dist, ggh4x, ggpmisc, quantreg
Published:	2022-05-30
Author:	Samer Mouksassi [aut, cre], Dean Attali [ctb]
Maintainer:	Samer Mouksassi <samermouksassi at gmail.com>
BugReports:	https://github.com/smouksassi/coveffectsplot/issues
License:	MIT + file LICENSE
URL:	https://github.com/smouksassi/coveffectsplot
NeedsCompilation:	no
SystemRequirements:	pandoc with https support
Materials:	README NEWS
CRAN checks:	coveffectsplot results

Documentation:

Reference manual:	coveffectsplot.pdf
Vignettes:	Exposure_Response_Example PKPD_Example PK_Example PK_Example_full Pediatric_Cov_Sim Introduction to coveffectsplot

Downloads:

Package source:	coveffectsplot_1.0.2.tar.gz
Windows binaries:	r-devel: coveffectsplot_1.0.2.zip, r-release: coveffectsplot_1.0.2.zip, r-oldrel: coveffectsplot_1.0.2.zip
macOS binaries:	r-release (arm64): coveffectsplot_1.0.2.tgz, r-oldrel (arm64): coveffectsplot_1.0.2.tgz, r-release (x86_64): coveffectsplot_1.0.2.tgz, r-oldrel (x86_64): coveffectsplot_1.0.2.tgz
Old sources:	coveffectsplot archive

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